Title :
Application of pattern recognition techniques in ultrasound tissue characterization
Author :
Momenan, Reza ; Loew, Murray H. ; Wagner, Robert F. ; Isana, M.F. ; Garra, Brian S.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA
Abstract :
An approach to the application of pattern recognition techniques is described by presenting examples of the tissue characterization from an ultrasound image. A Bayesian classifier is used to determine the feasibility of classifying tissue types and determining some properties of various feature spaces. An application of an unsupervised clustering technique that leads to more inherent properties of the features is described. A hypothesis-testing criterion is described and used to detect focal disease. The results to date are judged promising for tissue characterization of the liver and other abdominal organs
Keywords :
acoustic imaging; biomedical ultrasonics; patient diagnosis; pattern recognition; Bayesian classifier; abdominal organs; focal disease detection; hypothesis-testing criterion; liver; pattern recognition techniques; tissue characterization; tissue types classification; ultrasound tissue characterization; unsupervised clustering technique; Acoustic measurements; Acoustic scattering; Acoustic signal detection; Attenuation measurement; Backscatter; Biomedical imaging; Liver diseases; Medical diagnostic imaging; Pattern recognition; Ultrasonic imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95794
